<abstract xmlns="http://www.w3.org/1999/xhtml"><p>Modern data centres consume large amounts of power resulting in high levels of carbon dioxide emission. The data centre is a virtual environment in which the workload is performed by virtual machines. A widely used technique to decrease data centre power consumption is to consolidate the virtual machines using a minimal number of physical servers. The authors propose a two-stage method to solve the virtual machine consolidation problem in cloud data centres. The proposed method is programmed in C# to evaluate it and to perform modelling using Google cluster-usage traces. The proposed method enables powering off nearly fifty percent of the previously selected physical servers by using an acceptable number of migrations of virtual machines.</p></abstract>

Modern data centres consume large amounts of power resulting in high levels of carbon dioxide emission. The data centre is a virtual environment in which the workload is performed by virtual machines. A widely used technique to decrease data centre power consumption is to consolidate the virtual machines using a minimal number of physical servers. The authors propose a two-stage method to solve the virtual machine consolidation problem in cloud data centres. The proposed method is programmed in C# to evaluate it and to perform modelling using Google cluster-usage traces. The proposed method enables powering off nearly fifty percent of the previously selected physical servers by using an acceptable number of migrations of virtual machines.

Energy Efficient Data Center Resources Management Using Beam Search Algorithm

Department of Automatic Control and Information Technology, Faculty of Electrical and Computer Engineering

Department of Automation and Control in Technical Systems

Department of Computer-Aided Management and Data Processing Systems

Technical Transactions

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 Public License.

{"article-title":"Energy Efficient Data Center Resources Management Using Beam Search Algorithm"}

Modern data centres consume large amounts of power resulting in high levels of carbon dioxide emission. The data centre is a virtual environment in which the...

Energy Efficient Data Center Resources Management Using Beam Search Algorithm

Online veröffentlicht: 21. Mai 2020

Seitenbereich: 127 - 138

Eingereicht: 04. Apr. 2018

DOI: https://doi.org/10.4467/2353737XCT.18.060.8372

Schlüsselwörter
cloud computing, virtualisation, virtual machine consolidation, local beam search

© 2020 Sergii Telenyk et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 Public License.

Energy Efficient Data Center Resources Management Using Beam Search Algorithm

Online veröffentlicht: 21. Mai 2020

Seitenbereich: 127 - 138

Eingereicht: 04. Apr. 2018

DOI: https://doi.org/10.4467/2353737XCT.18.060.8372

Schlüsselwörtercloud computing, virtualisation, virtual machine consolidation, local beam search

© 2020 Sergii Telenyk et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 Public License.

Schlüsselwörter
cloud computing, virtualisation, virtual machine consolidation, local beam search